Customized Problem Solving Environment Using Thinking Constructs
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Solution Overview
Problem
Current software tools inadequately support comprehensive problem-solving and thinking processes, particularly in information-intensive situations, lacking customization and integration with external resources, and failing to guide qualitative thinking and analysis effectively.
Innovation Solution
A system and method that facilitate user thinking and documentation by providing a customizable environment with an archetype structure, allowing users to develop and document their thinking through integrated thinking and knowledge constructs (ITKC), which include topic sets, information constructs, analysis constructs, and meaning statements, and offer visual feedback and guidance based on monitored interactions and processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current software tools are used for problem-solving, then basic functionality is provided, but comprehensive support for thinking processes and customization is inadequate
Solution Approach 1:
The system segments the problem-solving process into distinct construct types (topic sets, information constructs, analysis constructs, meaning statements) that can be independently developed and customized. Each construct type represents a modular unit that users can assemble according to their specific problem-solving needs, enabling comprehensive customization without requiring complete system redesign.
Solution Approach 2:
The system implements dynamic customization where the problem-solving environment adapts to user needs through configurable construct types, relationships, and validation rules. The system structure remains flexible, allowing users to modify the complexity and composition of constructs based on the specific problem domain, thereby achieving adaptability without fixed complexity.
2Reliability
If comprehensive problem-solving support is provided, then thinking process guidance is improved, but integration with external resources is insufficient
Solution Approach 1:
The system implements universal construct types that can serve multiple functions across different problem domains. Each construct type (information construct, analysis construct, etc.) is designed to be domain-agnostic yet highly adaptable, allowing the same construct framework to reliably guide thinking processes while integrating with diverse external resources through configurable relationships and validation rules.
3Productivity
If structured approach to problem definition is implemented, then productivity is improved, but flexibility in handling arbitrary problems is reduced
Solution Approach 1:
The system employs parameter-based customization where construct types, relationships, and validation rules can be configured to match the specific parameters and requirements of different problem domains. This allows the structured approach to maintain high productivity through consistent frameworks while adapting to arbitrary problems by changing the underlying parameters and construct configurations rather than the fundamental structure.
Data Source
AI summary
Preferred embodiments of the invention provide a customized or specialized environment to facilitate customized development of thinking about a problem or inquiry based project.


